Fundamentals of AI Security, AI Governance & AI Compliance

Fundamentals of AI Security, AI Governance & AI Compliance is designed to help professionals, teams, and organizations understand how artificial...

£39.99
  • 2.5 hours
Fundamentals of AI Security, AI Governance & AI Compliance

Course overview

Fundamentals of AI Security, AI Governance & AI Compliance is designed to help professionals, teams, and organizations understand how artificial intelligence systems can be secured, governed, monitored, and aligned with emerging compliance expectations. The course introduces AI as a socio-technical and adaptive system, showing how AI risk differs from traditional software risk and why trust, accountability, security, and governance must work together.

Participants explore AI security engineering, threat landscape analysis, adversarial machine learning, model manipulation, generative AI risks, LLM security, agentic system risks, and AI defense operations. The course also covers AI ethics, fairness, transparency, explainability, human oversight, accountability, and liability considerations.

For organizations, this course supports responsible AI adoption by addressing AI lifecycle governance, control gates, risk-based classification, procurement governance, global AI regulation, NIST AI RMF, ISO/IEC AI standards, EU AI Act principles, monitoring, auditability, documentation systems, and future governance challenges linked to autonomous systems and compliance automation.

Course Includes

Participants receive structured knowledge aligned with the AI Security, AI Governance & AI Compliance curriculum, including:

  • Foundations of AI systems, risk, and trust engineering

  • AI security engineering and threat landscape awareness

  • AI ethics, fairness, and accountability concepts

  • AI governance systems and organizational controls

  • Global AI regulation and compliance frameworks

  • AI monitoring, auditability, and documentation topics

  • Certificate upon successful completion

What You'll Learn

  • Understand AI systems, risk, and trust concepts.
  • Identify AI security threats and attack surfaces.
  • Recognize LLM and agentic AI system risks.
  • Assess bias, fairness, and accountability issues.
  • Understand explainability and transparency principles.
  • Apply AI lifecycle governance concepts.
  • Recognize global AI compliance frameworks.
  • Understand AI monitoring, audit, and documentation needs.

Requirements

No specific prior experience or qualifications are required to participate in this course. A general interest in artificial intelligence, cybersecurity, governance, compliance, risk management, ethics, or digital transformation may be helpful.

Certification

Certification

A certificate is issued upon successful completion of Fundamentals of AI Security, AI Governance & AI Compliance. This certificate demonstrates that participants have developed foundational knowledge of AI security, governance, compliance, risk management, trust engineering, fairness, accountability, monitoring, auditability, and global regulatory frameworks.

The certificate can support professional development records, internal training documentation, and individual learning portfolios. It may also help participants show their understanding of how AI systems can be secured, governed, and monitored responsibly across organizational environments.

Course Curriculum

5 sections2.5 hours